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The new adaptive Under Frequency Load Shedding technique in an automated Distribution Network considering demand response programs

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Under Frequency Load Shedding (UFLS) is an important protection scheme to maintain the frequency of a Distribution Network (DN) consisting of Distributed Generations (DGs) exposed to power deficit. The different location and amount of load curtailments based on different parameters are acquired from the available literature. In this paper, an optimal adaptive UFLS method with the advent of two main modules has been proposed. The proposed method provides a revised Rate of Change of Load (ROCOFL) index related to bus voltage and load power consumption (ROCOFLpv). Using a wide area measurement system, Demand Response (DR) technology aimed at shedding fewer loads is emerging against a background of the smart grid. In addition, smart appliances can provide a real-time data packet in which frequency, the rate of change of frequency, voltage magnitude and breaker status are measured. The proposed method is implemented in five different load schemes considering DR programs. Comparative analyses are illustrated in this paper to assert the efficiency of implementing DR programs in which cost function and amounts of shedding loads are decreased. The results demonstrate that DR programs cannot be used for a big power unbalance in an islanded micro grid. The unintentional delay time imposed by DR and the small inertia existing in an islanded distribution network restrict the use of DR programs.
Rocznik
Strony
127--138
Opis fizyczny
Bibliogr. 31 poz., rys., tab., wykr.
Twórcy
  • Electrical Engineering Department, Faculty of Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran
  • Electrical Engineering Department, Faculty of Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran
Bibliografia
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  • [2] Pouya Babahajiani, Hassan Bevrani, and Qobad Shafiee. Intelligent coordination of demand response and secondary frequency control in multi-area power systems. In 1st IEEE Conference on New Research Achievements in Electrical and Computer Engineering (CBCONF), Tehran, Iran, May, 2016.
  • [3] Pouya Babahajiani, Qobad Shafiee, and Hassan Bevrani. Intelligent demand response contribution in frequency control of multi-area power systems. IEEE Transactions on Smart Grid, 2016.
  • [4] Yu-Qing Bao and Yang Li. Fpga-based design of grid friendly appliance controller. IEEE transactions on smart grid, 5(2):924–931, 2014.
  • [5] Vladimir Chuvychin and Roman Petrichenko. Development of smart underfrequency load shedding system. Journal of Electrical Engineering, 64(2):123, 2013.
  • [6] B Delfino, S Massucco, A Morini, P Scalera, and F Silvestro. Implementation and comparison of different under frequency load-shedding schemes. In Power Engineering Society Summer Meeting, 2001, volume 1, pages 307–312. IEEE, 2001.
  • [7] Amin Gholami, Tohid Shekari, Farrokh Aminifar, and Mohammad Shahidehpour. Microgrid scheduling with uncertainty: The quest for resilience. IEEE Transactions on Smart Grid, 7(6):2849–2858, 2016.
  • [8] D Hazarika and AK Sinha. Method for optimal load shedding in case of generation deficiency in a power system. International Journal of Electrical Power & Energy Systems, 20(6):411–420, 1998.
  • [9] Nick Jenkins. Embedded generation. Power engineering journal, 9(3): 145–150, 1995.
  • [10] M Karimi, P Wall, H Mokhlis, and V Terzija. A new centralized adaptive underfrequency load shedding controller for microgrids based on a distribution state estimator. IEEE Transactions on Power Delivery, 32 (1):370–380, 2017.
  • [11] Aimin Li and Zexiang Cai. A method for frequency dynamics analysis and load shedding assessment based on the trajectory of power system simulation. In Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on, pages 1335–1339. IEEE, 2008.
  • [12] Pukar Mahat, Zhe Chen, and Birgitte Bak-Jensen. Underfrequency load shedding for an islanded distribution system with distributed generators. IEEE Transactions on Power Delivery, 25(2):911–918, 2010.
  • [13] Behnam Mohammadi-Ivatloo, A Mokari, H Seyedi, and S Ghasemzadeh. An improved under-frequency load shedding scheme in distribution networks with distributed generation. Journal of Operation and Automation in Power Engineering, 2(1):22–31, 2014.
  • [14] Amin Mokari-Bolhasan, Heresh Seyedi, Behnam Mohammadi-ivatloo, Saeed Abapour, and Saeed Ghasemzadeh. Modified centralized rocof based load shedding scheme in an islanded distribution network. International Journal of Electrical Power & Energy Systems, 62:806–815, 2014.
  • [15] Sara Mullen and Getiria Onsongo. Decentralized agent-based underfrequency load shedding. Integrated Computer-Aided Engineering, 17 (4):321–329, 2010.
  • [16] Lukasz Bartosz Nikonowicz and Jaroslaw Milewski. Virtual power plants-general review: structure, application and optimization. Journal of Power Technologies, 92(3):135, 2012.
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  • [18] CP Reddy, S Chakrabarti, and SC Srivastava. A sensitivity-based method for under-frequency load-shedding. IEEE Transactions on Power Systems, 29(2):984–985, 2014.
  • [19] Urban Rudez and Rafael Mihalic. Analysis of underfrequency load shedding using a frequency gradient. IEEE transactions on power delivery, 26(2):565–575, 2011.
  • [20] Urban Rudez and Rafael Mihalic. Predictive underfrequency load shedding scheme for islanded power systems with renewable generation. Electric Power Systems Research, 126:21–28, 2015.
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  • [25] V Tamilselvan and T Jayabarathi. A hybrid method for optimal load shedding and improving voltage stability. Ain Shams Engineering Journal, 7(1):223–232, 2016.
  • [26] Vladimir V Terzija. Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation. IEEE Transactions on Power Systems, 21(3):1260–1266, 2006.
  • [27] Costas Vournas. Technical summary on the athens and southern greece blackout of july 12, 2004. National Technical University of Athens, 2004.
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  • [29] Ding Xu and Adly A Girgis. Optimal load shedding strategy in power systems with distributed generation. In Power Engineering Society Winter Meeting, 2001. IEEE, volume 2, pages 788–793. IEEE, 2001.
  • [30] BAO Yu-Qing, LI Yang,WANG Beibei, HU Minqiang, and CHEN Peipei. Demand response for frequency control of multi-area power system. Journal of Modern Power Systems and Clean Energy, 5(1):20–29, 2017.
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1515da58-1c63-471e-b8d1-de081eb59b4f
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